Software Engineering
Applications, internal platforms, workflow tools, APIs, and service layers that are designed for real operations — not just for launch day.
Digital Engineering Done Properly
Data XL designs and builds software, data platforms, cloud infrastructure, and AI-enabled tools for organisations that need reliable systems, clear insight, and real-world delivery.
We work where data matters: in public health programmes, operational organisations, delivery partnerships, and impact-driven work. Our role is to turn complexity into systems that can be used, trusted, and improved over time.
Software, data, cloud, and AI — designed to work together. These four disciplines run through every focus area.
Applications, internal platforms, workflow tools, APIs, and service layers that are designed for real operations — not just for launch day.
The foundations that make insight possible: pipelines, models, definitions, warehouses, dashboards, and reporting systems people can trust.
Secure, reliable, scalable cloud foundations for applications, data platforms, and AI-enabled systems.
Practical AI built into workflows, dashboards, and tools — with context, governance, permissions, and useful outcomes.
Where data matters: public health, operations, delivery, and impact.
We have lived with systems that quietly lost trust: dashboards with unclear definitions, pipelines no one could explain, fields reused for the wrong purpose, and data that looked precise but no longer meant what people thought it meant.
Data XL exists to do this work properly.
Not improvised. Not trendier. Properly.
We combine engineering discipline, data expertise, domain knowledge, and delivery experience across East Africa and Europe. Our work sits between Nairobi, Kampala, and The Hague — not as separate worlds, but as one operating base for international engineering and delivery.
Led by a senior team spanning engineering, data, public health, business development, partnerships, and delivery.
If your organisation depends on data, software, cloud systems, or AI-enabled workflows — and needs them to work in the real world — we should talk.
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